International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

Author:

Brat Gabriel A.ORCID,Weber Griffin M.,Gehlenborg Nils,Avillach PaulORCID,Palmer Nathan P.,Chiovato Luca,Cimino JamesORCID,Waitman Lemuel R.,Omenn Gilbert S.ORCID,Malovini Alberto,Moore Jason H.,Beaulieu-Jones Brett K.ORCID,Tibollo Valentina,Murphy Shawn N.,Yi Sehi L’ORCID,Keller Mark S.,Bellazzi Riccardo,Hanauer David A.ORCID,Serret-Larmande ArnaudORCID,Gutierrez-Sacristan AlbaORCID,Holmes John J.,Bell Douglas S.ORCID,Mandl Kenneth D.ORCID,Follett Robert W.ORCID,Klann Jeffrey G.ORCID,Murad Douglas A.,Scudeller LuigiaORCID,Bucalo MauroORCID,Kirchoff Katie,Craig Jean,Obeid JihadORCID,Jouhet VianneyORCID,Griffier RomainORCID,Cossin SebastienORCID,Moal Bertrand,Patel Lav P.ORCID,Bellasi AntonioORCID,Prokosch Hans U.,Kraska Detlef,Sliz PiotrORCID,Tan Amelia L. M.ORCID,Ngiam Kee YuanORCID,Zambelli Alberto,Mowery Danielle L.ORCID,Schiver Emily,Devkota Batsal,Bradford Robert L.ORCID,Daniar Mohamad,Daniel Christel,Benoit Vincent,Bey Romain,Paris Nicolas,Serre Patricia,Orlova Nina,Dubiel Julien,Hilka Martin,Jannot Anne Sophie,Breant Stephane,Leblanc JudithORCID,Griffon NicolasORCID,Burgun Anita,Bernaux Melodie,Sandrin Arnaud,Salamanca Elisa,Cormont Sylvie,Ganslandt ThomasORCID,Gradinger TobiasORCID,Champ JulienORCID,Boeker MartinORCID,Martel Patricia,Esteve Loic,Gramfort Alexandre,Grisel Olivier,Leprovost Damien,Moreau Thomas,Varoquaux Gael,Vie Jill-JênnORCID,Wassermann DemianORCID,Mensch Arthur,Caucheteux Charlotte,Haverkamp ChristianORCID,Lemaitre Guillaume,Bosari Silvano,Krantz Ian D.ORCID,South AndrewORCID,Cai TianxiORCID,Kohane Isaac S.ORCID

Abstract

AbstractWe leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across five countries (www.covidclinical.net). Contributors utilized the Informatics for Integrating Biology and the Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms to map to a common data model. The group focused on temporal changes in key laboratory test values. Harmonized data were analyzed locally and converted to a shared aggregate form for rapid analysis and visualization of regional differences and global commonalities. Data covered 27,584 COVID-19 cases with 187,802 laboratory tests. Case counts and laboratory trajectories were concordant with existing literature. Laboratory tests at the time of diagnosis showed hospital-level differences equivalent to country-level variation across the consortium partners. Despite the limitations of decentralized data generation, we established a framework to capture the trajectory of COVID-19 disease in patients and their response to interventions.

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Computer Science Applications,Medicine (miscellaneous)

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